CrewAI
Framework for orchestrating teams of AI agents
Overview
CrewAI is an open-source Python framework for building multi-agent systems where specialized agents collaborate on tasks — researcher, writer, reviewer, executor, etc. Strong community adoption among LLM-app developers; commercial enterprise tier.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 16 Sep 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Visual editor + AI copilot
- GitHub integration
- 50 workflow executions/mo
- Private/self-hosted deployment
- 50 hrs/mo dev assistance
- SSO + RBAC
- SOC2, FedRAMP High
Use cases
What you can produce with CrewAI
- Role-based agents — researcher, writer, reviewer — wired into a "crew" that runs a task end to end
- Deterministic, event-driven control through "flows" when a crew is too loose for the job
- An MIT-licensed open-source core, free to self-host, with the LangChain dependency finally cut in v1.14 (April 2026) — the single most-cited improvement in recent reviews
- ⚠️ A security review before you enable the Code Interpreter. Four vulnerabilities were disclosed in 2026 (CVE-2026-2275 and related) in which a prompt injection could escape the sandbox and execute code on the host. A framework this flexible needs the same scrutiny as any code-execution surface
- ⚠️ A pricing cliff rather than a ladder: the hosted Basic plan is free but capped at 50 workflow executions a month, and the only step up is Enterprise — quote-based and reportedly $60,000–$120,000 a year. There is nothing in between for a five-person team that has outgrown free
- Probabilistic behaviour by design. Deterministic output takes real engineering around the framework, not configuration of it
CrewAI is the most-starred open-source framework for building multi-agent systems — spin up agents with roles, goals and tools, then orchestrate them into "crews" or sequential flows. Version 1.14 (April 2026) dropped the LangChain dependency that was the top Reddit complaint, and the framework itself stays free and MIT-licensed. The hosted AMP platform's free Basic tier caps out at 50 workflow executions a month; past that, Enterprise pricing is quote-based and reportedly runs $60,000-$120,000 a year, with no self-serve tier in between. A researcher disclosed four vulnerabilities (CVE-2026-2275 and others) in CrewAI's Code Interpreter sandbox in 2026, exploitable via prompt injection — patch and review sandboxing settings before running agents on untrusted input. It's a strong default for Python teams prototyping agentic systems, less so for anyone wanting a mid-priced managed tier.
What people say
CrewAI's Reddit reputation used to be one long complaint about its LangChain dependency — every update dragged in someone else's abstractions and broke things downstream. That cord was actually cut back in version 0.85, released in December 2024, and the project has moved quickly since.
What's left is a genuinely popular way to wire up role-based agents — a researcher, a writer, a reviewer — into a "crew" that runs a task end to end, or a "flow" for more deterministic, event-driven control. The open-source core is free and MIT-licensed, and CrewAI says 65% of the Fortune 500 now use it in some form.
The gap is in the middle of the pricing ladder. The hosted Basic plan is free but capped at 50 workflow executions a month; the only step up is Enterprise, quote-based and reportedly $60,000-$120,000 a year — nothing for a five-person startup that's outgrown the free tier but isn't buying SOC2 and a dedicated VPC. Security researchers also reported four vulnerabilities in 2026 (CVE-2026-2275 and three related CVEs), two of them in the Code Interpreter tool, which could let a prompt injection escape the sandbox; CrewAI responded by removing that tool entirely — a reminder that agent frameworks this flexible need the same scrutiny as any code-execution surface. Agent behavior stays probabilistic by design, so don't expect deterministic output without real engineering around it.
Releases are frequent: version 1.15.21 shipped on 9 September 2026, one of about twenty since the 1.15 line began in June, and LiteLLM is now an optional dependency. The commercial layer is branded the CrewAI AMP Suite and can run in CrewAI's cloud or a customer's own infrastructure.
Summary of public user & expert reviews, compiled by RECATOOLS.
Notable facts
- CrewAI reached 20 million downloads within 6 months of release — one of the fastest-adopted Python AI frameworks in history.
- The framework's role-based agent design was inspired by how human organisations assign specialised roles with clear responsibilities and handoffs.
- A CrewAI workflow with 5 agents completed a comprehensive market research report — including web research, competitor analysis, and executive summary — in 12 minutes.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including CrewAI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with CrewAI unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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